Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "51"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 51 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 27 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 27 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 51, Node N03:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460010 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.247230 1.881748 -0.325029 0.175193 2.365456 2.914956 65.722287 1.784760 0.5810 0.5872 0.3743 nan nan
2460009 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.588700 2.030976 -0.346204 0.188049 0.979248 1.364839 70.992282 1.908632 0.5878 0.5984 0.3764 nan nan
2460008 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.750122 2.017569 -0.023234 -0.091244 1.602641 1.495115 15.628826 1.101181 0.6271 0.6414 0.3376 nan nan
2460007 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.016692 1.758469 0.151539 0.159264 1.822893 1.940729 28.512872 0.176687 0.5805 0.6035 0.3630 nan nan
2459999 dish_maintenance 0.00% 99.92% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.1606 0.1043 0.0544 nan nan
2459998 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 5.431539 1.598764 0.123779 0.183021 3.761807 2.073243 34.215793 0.650724 0.5887 0.6058 0.3943 nan nan
2459997 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 6.446513 1.687970 0.083252 0.268664 2.458136 0.988358 51.103773 0.443684 0.6024 0.6228 0.3943 nan nan
2459996 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.047061 2.092761 0.214648 0.139180 3.354883 1.035974 26.671990 2.095241 0.6090 0.6269 0.4054 nan nan
2459995 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459994 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.936275 4.519721 -0.490373 1.334129 3.503706 3.801128 22.730507 2.077481 0.4959 0.5028 0.2561 nan nan
2459993 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.959423 4.608005 0.038723 1.865038 4.314456 4.049612 19.337135 2.907614 0.4293 0.4635 0.2575 nan nan
2459991 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.569575 5.223066 0.189829 1.942266 3.631252 4.405093 25.743274 3.772217 0.5064 0.5080 0.2604 nan nan
2459990 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.115566 4.269160 0.242811 1.974764 4.436532 3.896251 37.729546 3.611318 0.5021 0.5059 0.2579 nan nan
2459989 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.659005 4.201771 0.177629 2.026232 4.606690 3.297131 33.154457 3.706910 0.4983 0.5060 0.2578 nan nan
2459988 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 11.904476 5.199686 0.165336 1.883782 4.761895 3.987447 30.269848 1.482734 0.4978 0.5104 0.2522 nan nan
2459987 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.860834 4.160895 0.142020 1.873290 3.748032 3.355355 44.607472 0.743372 0.5023 0.5113 0.2511 nan nan
2459986 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 11.450322 5.116341 0.201874 1.923145 5.689827 4.621762 22.913180 1.507016 0.5292 0.5447 0.2277 nan nan
2459985 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 11.665547 5.017981 0.091672 1.809779 3.906339 3.564587 57.248630 5.503310 0.4971 0.5080 0.2561 nan nan
2459984 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 12.434703 4.298193 -0.162113 1.777812 5.193511 4.189214 28.167482 0.344776 0.5110 0.5250 0.2451 nan nan
2459983 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.301358 4.365523 0.197267 1.787136 4.493608 5.070493 37.131119 2.892642 0.5223 0.5432 0.2305 nan nan
2459982 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.834419 5.762845 0.413566 1.802529 4.230565 2.893287 5.351783 0.051260 0.5993 0.6019 0.2146 nan nan
2459981 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.708019 3.916366 0.259485 1.731707 4.642077 3.953771 52.442228 2.046214 0.5001 0.5093 0.2536 nan nan
2459980 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.123804 4.070102 0.098677 1.613844 5.342565 4.766744 13.645665 0.856699 0.5553 0.5627 0.2076 nan nan
2459979 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 11.426451 4.067262 0.025435 1.594152 3.991882 4.208104 52.654837 1.391457 0.4888 0.5028 0.2508 nan nan
2459978 dish_maintenance 100.00% 100.00% 0.00% 0.00% - - 22.596591 4.216067 12.206548 -0.549849 9.518006 3.266843 8.558656 3.369752 0.0354 0.5095 0.3899 nan nan
2459977 dish_maintenance 100.00% 100.00% 0.00% 0.00% - - 23.107919 4.219961 11.901385 -0.551722 9.390862 4.421009 7.467624 1.624448 0.0421 0.4642 0.3452 nan nan
2459976 dish_maintenance 100.00% 100.00% 0.00% 0.00% - - 20.621278 4.148416 11.866322 -1.207762 9.543036 3.820731 5.706306 1.414530 0.0389 0.5146 0.3927 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 51: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 65.722287 4.247230 1.881748 -0.325029 0.175193 2.365456 2.914956 65.722287 1.784760

Antenna 51: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 70.992282 4.588700 2.030976 -0.346204 0.188049 0.979248 1.364839 70.992282 1.908632

Antenna 51: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 15.628826 2.017569 7.750122 -0.091244 -0.023234 1.495115 1.602641 1.101181 15.628826

Antenna 51: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 28.512872 8.016692 1.758469 0.151539 0.159264 1.822893 1.940729 28.512872 0.176687

Antenna 51: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 51: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 34.215793 5.431539 1.598764 0.123779 0.183021 3.761807 2.073243 34.215793 0.650724

Antenna 51: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 51.103773 6.446513 1.687970 0.083252 0.268664 2.458136 0.988358 51.103773 0.443684

Antenna 51: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 26.671990 7.047061 2.092761 0.214648 0.139180 3.354883 1.035974 26.671990 2.095241

Antenna 51: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 51: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 22.730507 8.936275 4.519721 -0.490373 1.334129 3.503706 3.801128 22.730507 2.077481

Antenna 51: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 19.337135 10.959423 4.608005 0.038723 1.865038 4.314456 4.049612 19.337135 2.907614

Antenna 51: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 25.743274 10.569575 5.223066 0.189829 1.942266 3.631252 4.405093 25.743274 3.772217

Antenna 51: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 37.729546 4.269160 9.115566 1.974764 0.242811 3.896251 4.436532 3.611318 37.729546

Antenna 51: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 33.154457 4.201771 9.659005 2.026232 0.177629 3.297131 4.606690 3.706910 33.154457

Antenna 51: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 30.269848 5.199686 11.904476 1.883782 0.165336 3.987447 4.761895 1.482734 30.269848

Antenna 51: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 44.607472 9.860834 4.160895 0.142020 1.873290 3.748032 3.355355 44.607472 0.743372

Antenna 51: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 22.913180 5.116341 11.450322 1.923145 0.201874 4.621762 5.689827 1.507016 22.913180

Antenna 51: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 57.248630 5.017981 11.665547 1.809779 0.091672 3.564587 3.906339 5.503310 57.248630

Antenna 51: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 28.167482 12.434703 4.298193 -0.162113 1.777812 5.193511 4.189214 28.167482 0.344776

Antenna 51: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 37.131119 10.301358 4.365523 0.197267 1.787136 4.493608 5.070493 37.131119 2.892642

Antenna 51: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Shape 10.834419 10.834419 5.762845 0.413566 1.802529 4.230565 2.893287 5.351783 0.051260

Antenna 51: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 52.442228 3.916366 9.708019 1.731707 0.259485 3.953771 4.642077 2.046214 52.442228

Antenna 51: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 13.645665 4.070102 9.123804 1.613844 0.098677 4.766744 5.342565 0.856699 13.645665

Antenna 51: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Temporal Discontinuties 52.654837 11.426451 4.067262 0.025435 1.594152 3.991882 4.208104 52.654837 1.391457

Antenna 51: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Shape 22.596591 4.216067 22.596591 -0.549849 12.206548 3.266843 9.518006 3.369752 8.558656

Antenna 51: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Shape 23.107919 23.107919 4.219961 11.901385 -0.551722 9.390862 4.421009 7.467624 1.624448

Antenna 51: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
51 N03 dish_maintenance ee Shape 20.621278 4.148416 20.621278 -1.207762 11.866322 3.820731 9.543036 1.414530 5.706306
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